Umap 18
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Author | : Michael A. Bekos |
Publisher | : Springer Nature |
Total Pages | : 368 |
Release | : 2024-01-11 |
Genre | : Computers |
ISBN | : 3031492722 |
This two-volume set LNCS 14465-14466 constitutes the proceedings of the 31st International Symposium on Graph Drawing and Network Visualization, GD 2023, held in Isola delle Femmine, Palermo, Italy, in September 2023. The 31 full papers, 7 short papers, presented together with 2 invited talks, and one contest report, were thoroughly reviewed and selected from the 100 submissions. The abstracts of 11 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: beyond planarity; crossing numbers; linear layouts; geometric aspects; visualization challenges; graph representations; graph decompositions; topological aspects; parameterized complexity for drawings; planar graphs; frameworks; algorithmics.
Author | : Paul De Bra |
Publisher | : Springer Science & Business Media |
Total Pages | : 445 |
Release | : 2010-06-01 |
Genre | : Computers |
ISBN | : 3642134696 |
The LNCS series reports state-of-the-art results in computer science research, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies, LNCS has grown into the most comprehensive computer science research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. In parallel to the printed book, each new volume is published electronically in LNCS Online. Detailed information on LNCS can be found at www.springer.com/Incs Proposals for publication should be sent to LNCS Editorial, Tiergartenstr. 17, 69121 Heidelberg, Germany E-mail: [email protected]
Author | : Mirjam Augstein |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 442 |
Release | : 2023-08-07 |
Genre | : Computers |
ISBN | : 3110988771 |
Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users’ needs. User models can be inferred from implicitly observed information, such as the user’s interaction history or current location, or from explicitly entered information, such as user profile data or ratings. Applications of personalization include item recommendation, location-based services, learning assistance and the tailored selection of interaction modalities. With the transition from desktop computers to mobile devices and ubiquitous environments, the need for adapting to changing contexts is even more important. However, this also poses new challenges concerning privacy issues, user control, transparency, and explainability. In addition, user experience and other human factors are becoming increasingly important. This book describes foundations of user modeling, discusses user interaction as a basis for adaptivity, and showcases several personalization approaches in a variety of domains, including music recommendation, tourism, and accessible user interfaces.
Author | : Vania Gatseva Dimitrova |
Publisher | : Frontiers Media SA |
Total Pages | : 155 |
Release | : 2021-01-11 |
Genre | : Science |
ISBN | : 2889663752 |
Author | : Michail Giannakos |
Publisher | : Springer Nature |
Total Pages | : 362 |
Release | : 2022-10-08 |
Genre | : Education |
ISBN | : 3031080769 |
This handbook is the first book ever covering the area of Multimodal Learning Analytics (MMLA). The field of MMLA is an emerging domain of Learning Analytics and plays an important role in expanding the Learning Analytics goal of understanding and improving learning in all the different environments where it occurs. The challenge for research and practice in this field is how to develop theories about the analysis of human behaviors during diverse learning processes and to create useful tools that could augment the capabilities of learners and instructors in a way that is ethical and sustainable. Behind this area, the CrossMMLA research community exchanges ideas on how we can analyze evidence from multimodal and multisystem data and how we can extract meaning from this increasingly fluid and complex data coming from different kinds of transformative learning situations and how to best feed back the results of these analyses to achieve positive transformative actions on those learning processes. This handbook also describes how MMLA uses the advances in machine learning and affordable sensor technologies to act as a virtual observer/analyst of learning activities. The book describes how this “virtual nature” allows MMLA to provide new insights into learning processes that happen across multiple contexts between stakeholders, devices and resources. Using such technologies in combination with machine learning, Learning Analytics researchers can now perform text, speech, handwriting, sketches, gesture, affective, or eye-gaze analysis, improve the accuracy of their predictions and learned models and provide automated feedback to enable learner self-reflection. However, with this increased complexity in data, new challenges also arise. Conducting the data gathering, pre-processing, analysis, annotation and sense-making, in a way that is meaningful for learning scientists and other stakeholders (e.g., students or teachers), still pose challenges in this emergent field. This handbook aims to serve as a unique resource for state of the art methods and processes. Chapter 11 of this book is available open access under a CC BY 4.0 license at link.springer.com.
Author | : University of Michigan Computing Center |
Publisher | : |
Total Pages | : 1072 |
Release | : 1965 |
Genre | : |
ISBN | : |
Author | : Stevan Rudinac |
Publisher | : Springer Nature |
Total Pages | : 552 |
Release | : |
Genre | : |
ISBN | : 3031533119 |
Author | : Rachel Hynson |
Publisher | : Cambridge University Press |
Total Pages | : 337 |
Release | : 2020-01-23 |
Genre | : History |
ISBN | : 1107188679 |
The Cuban revolutionary government engaged in social engineering to redefine the nuclear family and organize citizens to serve the state.
Author | : Michael R. Berthold |
Publisher | : Springer Nature |
Total Pages | : 601 |
Release | : 2020-04-22 |
Genre | : Computers |
ISBN | : 3030445844 |
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020. The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a solid motivation can be as convincing as exhaustive empirical evaluation.
Author | : Ewa Sitnicka |
Publisher | : Frontiers Media SA |
Total Pages | : 177 |
Release | : 2020-09-02 |
Genre | : Medical |
ISBN | : 2889639770 |
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.